Forward Deployed Engineer, Financial Services

OpenAI

. Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows .

Posted 11/5/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $234,000 - $335,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying production AI systems within regulated financial environments, focusing on integration, data flows, and compliance. Proven ability to translate complex business problems into actionable system requirements and measurable outcomes while collaborating with diverse stakeholders.

Highest-signal resume keywords

AI System DesignFinancial Workflow ExperienceProduction-Grade Coding (Python, JavaScript)End-to-End System OwnershipStakeholder Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringML EngineeringData-Driven SystemsModel EvaluationIntegrationData Flow ManagementDeployment PatternsEvaluation BenchmarksControls and Audit ArtifactsFailure Mode Analysis

Soft Skills

Systems ThinkingHigh Execution StandardsCalm Under PressureDecisivenessCollaboration

Industry Keywords

Financial ServicesRegulated IndustriesRisk ManagementComplianceInvestment ProcessesTradingUnderwritingOperationsGenerative ModelsLLMs

Tech Stack

Tools & technologies

JavaScriptPython

About the role

Key responsibilities & impact

Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows
Lead discovery and scoping from pre-sales through post-production
Translate ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes
Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds
Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures
Run evaluation loops against workflow-specific financial benchmarks such as accuracy, latency, coverage, and false positives
Use evaluation results to drive iteration
Own delivery state across multiple workstreams and make trade-offs between scope, speed, and quality
Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling
Surface field feedback that informs model behavior, product capabilities, and platform gaps
Partner with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments
Collaborate with Product, Research, GTM, Security, Legal, and GRC

Requirements

What you’ll need

5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries
Experience owning complex AI or data-driven systems end-to-end, from scoping through production adoption
Experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes
Production-grade coding experience across backend and frontend systems using Python, JavaScript, or comparable stacks
Experience deploying systems powered by LLMs or generative models
Understanding of model behavior, evaluation, and guardrails
Ability to communicate across engineering, product, risk, compliance, and executive stakeholders
Systems thinking and high execution standards
Ability to turn incidents, escalations, and failures into improved operating standards and repeatable deployment patterns
Ability to stay calm and decisive when delivery is urgent, ambiguous, and high-stakes
Ability to work from the NYC office three days per week
Ability to travel up to 50% may be required

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices
Meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching
Wellness stipends may be provided